{"title":"提高城市常规交通市政线路上电动公交车超快充电运行效率的方法","authors":"A. Chernyshev, D. Moroz, P. Akopov, G. Popov","doi":"10.1109/TIRVED56496.2022.9965515","DOIUrl":null,"url":null,"abstract":"The article substantiates the need to increase the performance and improve the parameters of electric buses on the routes in order to improve the quality of transport services to the population. The factors and indicators influencing the battery discharging were determined. The analysis of the performance of electric buses and the degree of battery discharging on the existing routes of cities was carried out. The calculation of the need for charging stations and charging posts is presented. The aim of the study is to develop an algorithm for the formation of neural network models to determine the power reserve of electric buses, depending on operating conditions","PeriodicalId":173682,"journal":{"name":"2022 Intelligent Technologies and Electronic Devices in Vehicle and Road Transport Complex (TIRVED)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Means to Improve the Efficiency of Operation of Electric Buses with Ultrafast Charging on Municipal Routes of Regular Transportation in Cities\",\"authors\":\"A. Chernyshev, D. Moroz, P. Akopov, G. Popov\",\"doi\":\"10.1109/TIRVED56496.2022.9965515\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The article substantiates the need to increase the performance and improve the parameters of electric buses on the routes in order to improve the quality of transport services to the population. The factors and indicators influencing the battery discharging were determined. The analysis of the performance of electric buses and the degree of battery discharging on the existing routes of cities was carried out. The calculation of the need for charging stations and charging posts is presented. The aim of the study is to develop an algorithm for the formation of neural network models to determine the power reserve of electric buses, depending on operating conditions\",\"PeriodicalId\":173682,\"journal\":{\"name\":\"2022 Intelligent Technologies and Electronic Devices in Vehicle and Road Transport Complex (TIRVED)\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-11-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 Intelligent Technologies and Electronic Devices in Vehicle and Road Transport Complex (TIRVED)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TIRVED56496.2022.9965515\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 Intelligent Technologies and Electronic Devices in Vehicle and Road Transport Complex (TIRVED)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TIRVED56496.2022.9965515","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Means to Improve the Efficiency of Operation of Electric Buses with Ultrafast Charging on Municipal Routes of Regular Transportation in Cities
The article substantiates the need to increase the performance and improve the parameters of electric buses on the routes in order to improve the quality of transport services to the population. The factors and indicators influencing the battery discharging were determined. The analysis of the performance of electric buses and the degree of battery discharging on the existing routes of cities was carried out. The calculation of the need for charging stations and charging posts is presented. The aim of the study is to develop an algorithm for the formation of neural network models to determine the power reserve of electric buses, depending on operating conditions